The impact of data characteristics on the performance of classical recommender systems
has been recently investigated and produced fruitful results about the relationship they have …

Financial technology (FinTech) draws much attention in these years, with the advances of
machine learning and deep learning. In this work, given historical time series of stock prices …

With the rapid development of the mobile internet, there is an increasing demand for quick
access to effective data. Consequently, more research is focusing on data processing and …

This case study introduces a new investment technique approach to make investment
decisions in the stock market with minimum risk and reduced potential human intuition bias …

As with many other businesses, banking industry tends to digitalize its working processes
and use state-of-the-art technique in the financial and commercial areas in its business. The …

Анотація Предметом вивчення в статті є процеси представлення пояснень для
персоналізованих пропозицій в рекомендаційних системах. Метою є розробка моделі …

In today's fast-paced world, the amount of information we access and utilize rapidly
increases. Data mining, involving the extraction of relevant data from vast datasets and …

Nowadays, there are several options when it comes to making use of products that facilitate
financial services to people through virtual wallets. A recommender system quickly provides …

Tavsiye sistemleri, günümüzde hızla artan kullanıcı ve ürün veri havuzlarını işlemek üzere
sofistike algoritmaların kullanıldığı ve ürünler ile müşteriler arasında en uyumlu eşleşmeyi …

In recent years, the recommendation system has been used extensively in various fields,
such as Amazon, YouTube, Netflix, and others. Therefore, this study suggests using …